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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of specific types of firearms, particularly shotguns

    oai_token-act-pair · gpt-3.5-turbo

    references to shotguns and shotgun-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Courage
    -0.73
     Asia
    -0.71
    Mi
    -0.70
     Jun
    -0.70
     Jong
    -0.69
    jing
    -0.69
    omi
    -0.68
     Mith
    -0.68
     Il
    -0.66
    nen
    -0.65
    POSITIVE LOGITS
     shotgun
    4.01
     shotguns
    3.05
     Shotgun
    2.68
     revolver
    1.63
     pistol
    1.62
     handgun
    1.57
     Pistol
    1.40
     Winchester
    1.39
     pistols
    1.38
     handguns
    1.37
    Activations Density 0.018%

    No Known Activations